The aim of studying and bibliography

The main aim of study: Acquiring basic knowledge in programming in C and C++

The general information about the module: Acquiring basic knowledge in the field of programming techniques in high-level languages. The module assumes familiarization with the techniques of structural and procedural programming, the basic syntax of C, C ++. Practical classes focus on solving practical tasks and preparing programs.

Bibliography required to complete the module

Bibliography used during lectures

1	Stroustrup Bjarne	Język C++. Kompendium wiedzy	Helion, Gliwice.	2014.
2	Kernighan Brian W., Ritchie Dennis M.	Język ANSI C	WNT, Warszawa.	1998
3	Prata Stephen	Język C++. Szkoła programowania	Helion, Gliwice.	2012.

Bibliography used during classes/laboratories/others

1	Tłuczek Marek	Programowanie w języku C. Ćwiczenia praktyczne	Helion.	2011
2	Zalewski Andrzej	Programowanie w językach C i C++ z wykorzystaniem pakietu Borland C++	Nakom, Poznań.	1998
3	Jędrzejec B., Sadolewski J.	Programowanie w języku C i C++	Wydawnictwo PRz., Rzeszów.	2014

Bibliography to self-study

1	Grębosz Jerzy	Symfonia C++ standard	Wydawnictwo „Edition 2000”, Kraków.	2005
2	Aho Alfred V. , Ullman Jeffrey D.	Wykłady z informatyki z przykładami w języku C	Helion.	2003

Basic requirements in category knowledge/skills/social competences

Formal requirements: The student satisfies the formal requirements set out in the study regulations.

Basic requirements in category knowledge: The student should have knowledge in the field of mathematics, used to formulate and solve engineering tasks related to computer science. Basic knowledge in the field of computer science is required.

Basic requirements in category skills: The student should be able to use mathematical knowledge to formulate and solve simple IT tasks based on analytical and experimental methods.

Basic requirements in category social competences: Ma świadomość odpowiedzialności za własną pracę.

Module outcomes

MEK	The student who completed the module	Types of classes / teaching methods leading to achieving a given outcome of teaching	Methods of verifying every mentioned outcome of teaching	Relationships with KEK	Relationships with PRK
01	Forms an algorithm for solving a programming task.	Lecture, Laboratory, Project	Completion of parts written Practical part	K_W05+ K_U05+ K_K01+	P6S_KK P6S_UW P6S_WG
02	Designs and programs simple applications using structural and procedural programming techniques.	Lecture, Laboratory, Project	Completion of parts written Practical part	K_W06++ K_W07+ K_U08+ K_U10++ K_K02+	P6S_KK P6S_KO P6S_UW P6S_WG
03	It programs simple applications using object-oriented programming techniques.	Lecture, Laboratory, Project	Completion of parts written Practical part	K_W06++ K_W07+ K_U10++ K_U12+ K_K03+ K_K05+	P6S_KO P6S_KR P6S_UW P6S_WG

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem.	TK	The content	realized in	MEK
1	TK01	Basic elements of language C. Data types, simple and structure types, type conversion. Constant, variable, expressions. Operators, operators' priorities	W01, W02	MEK01 MEK02
1	TK02	Tables. Structure. I / O operations. Files.	W03, W04	MEK01 MEK02
1	TK03	Controlling the course of the program. Instructions: empty, assignments, complex, conditional, selection, iterative instructions.	W05, W06	MEK01 MEK02
1	TK04	Functions, parameter transfer; returning the result, stack. Indicators.	W07, W08	MEK02
1	TK05	ntroduction to programming in C ++. The concept of stream. Classes: operation on objects, methods: declaration and definition. The static component of the class.	W09, W10	MEK03
1	TK06	Encapsulation, encapsulation. Review of the methods of the standard I / O stream library. File streams.	W11, W12	MEK03
1	TK07	Constructor. Destroyer. Dynamic memory allocation. Affiliate functions. Overloading operators.	W13, W14	MEK03
1	TK08	Inheritance: the essence of inheritance; methods of declaration; access to components. Virtual functions. Abstraction class.	W15	MEK03

The student's effort

The type of classes	The work before classes	The participation in classes	The work after classes
Lecture (sem. 1)	The preparation for a test: 7.00 hours/sem.	contact hours: 30.00 hours/sem.	complementing/reading through notes: 15.00 hours/sem. Studying the recommended bibliography: 15.00 hours/sem.
Laboratory (sem. 1)	The preparation for a Laboratory: 7.00 hours/sem. The preparation for a test: 7.00 hours/sem.	contact hours: 15.00 hours/sem.	Finishing/Making the report: 5.00 hours/sem.
Project/Seminar (sem. 1)	The preparation for projects/seminars: 2.00 hours/sem.	contact hours: 15.00 hours/sem..	Doing the project/report/ Keeping records: 5.00 hours/sem. The preparation for the presentation: 3.00 hours/sem.
Advice (sem. 1)	The preparation for Advice: 1.00 hours/sem.	The participation in Advice: 1.00 hours/sem.
Credit (sem. 1)	The preparation for a Credit: 10.00 hours/sem.	The written credit: 2.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes	The way of giving the final grade
Lecture	grade from written test
Laboratory	grades from reports and tasks carried out in class
Project/Seminar	assessment of the design task
The final grade	The final grade is the average of the above ratings.

Sample problems

Required during the exam/when receiving the credit
(-)

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: yes

1	G. Drałus; G. Karnas; G. Masłowski	Identification of cloud-to-ground lightning and intra-cloud lightning based on their radiated electric field signatures using different types of neural networks and machine learning classifiers	2024
2	G. Drałus; M. Gołębiowski; P. Hawro; P. Krutys; T. Kwater	Comprehensive online estimation of object signals for a control system with an adaptive approach and incomplete measurements	2024
3	G. Drałus	Metody śledzenia punktu MPP modułu fotowoltaicznego	2023
4	G. Drałus; J. Drałus; J. Kusznier; D. Mazur	Application of Artificial Intelligence Algorithms in Multilayer Perceptron and Elman Networks to Predict Photovoltaic Power Plant Generation	2023
5	A. Czmil; G. Drałus; D. Mazur	Automatic Detection and Counting of Blood Cells in Smear Images Using RetinaNet	2021
6	G. Dec; G. Drałus; B. Kwiatkowski; D. Mazur	Forecasting Models of Daily Energy Generation by PV Panels Using Fuzzy Logic	2021
7	G. Drałus; T. Rak	Prognozowanie w horyzoncie jednej godziny produkcji energii przez panel fotowoltaiczny	2020
8	G. Drałus; T. Rak	Programowanie równoległe w hybrydowym środowisku MPI i OpenMP na klastrze serwerów	2020